Programs/04 · AI Engineering

AI Engineering.

For technical teams building with AI agents: prompting, Claude Code, MCP, hooks, sub-agents, and shipping agentic workflows to production.

20+

Modules

Tracks

Live

Hands-on

The approach

Go from using AI to engineering with it.

A practitioner track for technical teams, the patterns, guardrails, and architecture behind reliable agentic systems, built in your own stack.

FormatLive, hands-on

LevelTechnical teams

ToolsYour own stack

You leave withProduction-ready agent skills

The basics

The foundational track, free to read below. The advanced tracks unlock on a call.

01Getting Started

02Prompting Claude Code Effectively

03AGENTS.md: Patterns and Pitfalls

04The Skills Ecosystem: Using and Writing Skills

05Approval Modes and Trust Boundaries

06Debugging and Diagnosing Agent Failures

07Model Selection and Reasoning Effort

08MCP: Consuming and Serving

09Hooks: Intercepting the Agent Lifecycle

10Context Window Management

11Sub-Agents and Parallel Execution

12Cost Management and Quota Strategy

13Multi-Agent Orchestration Patterns

14Worktrees and Isolated Execution

15CI/CD Integration

16Security Hardening

17Enterprise Deployment

18Testing and Evaluation for Agentic Workflows

Go deeper

Specialised workflows and the architecture behind long-running agentic systems. We walk your team through these live, on a call.

Applying agents to real engineering work.

Unlock on a call

How agentic systems are built to last.

Unlock on a call